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Synopsis
In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high risks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance.
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Stroke Prediction Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing Mrz 2022, 2022
ISBN 10: 6139961939
ISBN 13: 9786139961931
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high risks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance. 80 pp. Englisch. Seller Inventory # 9786139961931
Quantity: 2 available
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Stroke Prediction Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6139961939
ISBN 13: 9786139961931
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Seller: moluna, Greven, Germany
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Kartoniert / Broschiert. Condition: New. Seller Inventory # 578587858
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Stroke Prediction Using Machine Learning Algorithms
Published by
LAP LAMBERT Academic Publishing Mär 2022, 2022
ISBN 10: 6139961939
ISBN 13: 9786139961931
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high risks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Seller Inventory # 9786139961931
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Stroke Prediction Using Machine Learning Algorithms : Artificial Intelligence (AI)
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6139961939
ISBN 13: 9786139961931
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the medical world, stroke is one of the most prominent diseases that threaten human life in the world. The most common causes of death in the world are stroke, heart disease and cancer. Fortunately, stroke can be prevented if high risks patients are identified before the occurrence of a stroke. A medical diagnosis for stroke prediction is a complex process. However, machine learning algorithms can be used to facilitate stroke prediction in the early stages. The performance of the classification algorithms depends on a balanced dataset hence this study aims to implement the imbalanced data techniques as undersampling, oversampling and hybrid techniques to enhance the classification models performance. Seller Inventory # 9786139961931
Quantity: 1 available